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Weighted F1-measure in Watson OpenScale quality metrics

Weighted F1-measure in Watson OpenScale quality metrics

The weighted F1-measure gives the weighted mean of F1-measure with weights equal to class probability in Watson OpenScale.

Weighted F1-Measure at a glance

  • Description: Weighted mean of F1-measure with weights equal to class probability
  • Default thresholds: Lower limit = 80%
  • Default recommendation:
    • Upward trend: An upward trend indicates that the metric is improving. This means that model retraining is effective.
    • Downward trend: A downward trend indicates that the metric is deteriorating. Feedback data is becoming significantly different than the training data.
    • Erratic or irregular variation: An erratic or irregular variation indicates that the feedback data is not consistent between evaluations. Increase the minimum sample size for the Quality monitor.
  • Problem type: Multiclass classification
  • Chart values: Last value in the timeframe
  • Metrics details available: Confusion matrix

Do the math

The Weighted F1-Measure is the result of using weighted data.

           precision * recall
F1 = 2 *  ____________________

           precision + recall

Learn more

Reviewing quality results

Parent topic: Quality metrics overview

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